What would an AI consultant actually change in your business before asking you to buy another tool? For a small Irish business, the answer to what does an AI consultant actually do for a small Irish business should be practical: understand how the company works, find a worthwhile problem, define the risks, build a sensible plan and help the team put it into use.
The work should not begin with a software demonstration. It should begin with the business. Where is time being lost? Which enquiries are missed? What information is repeatedly copied between systems? Which decisions are slow because the right data is difficult to find?
Ireland’s Central Statistics Office reported that 20.2% of enterprises used AI in some form during 2025, but adoption varied sharply by company size. That matters because a small firm rarely needs the same programme as a large organisation. The job is to find the smallest useful intervention, not the largest possible technology project.
What does an AI consultant actually do for a small Irish business?
The six stages of a useful AI consulting engagement
1. Initial consultation
The first conversation establishes the commercial problem. A consultant should ask about goals, customers, staff, recurring tasks, existing systems and previous experiments with AI. This is also where both sides decide whether there is a real fit.
You should leave that conversation with a clearer question, not a shopping list of platforms.
2. Discovery and readiness assessment
Next comes a structured review of the business. ThinkAI looks at current processes, available data, technical systems and the team’s ability to use and supervise an AI solution.
This stage should also identify constraints. The Data Protection Commission advises organisations to understand what personal data an AI product uses, where it goes and whether it is retained or reused. Those questions belong at the start of AI project scoping, particularly where customer, employee or commercially sensitive information is involved.
3. Opportunity mapping and prioritisation
Discovery usually produces several ideas. The consultant’s job is to separate useful opportunities from distractions.
Each option should be considered against business value, implementation effort, available data, staff impact, risk and the ability to measure an outcome. A quicker response to sales enquiries may be a stronger first project than an ambitious forecasting system that depends on data the business does not yet collect.
Enterprise Ireland’s AI Discovery programme follows a similar logic. It reviews the business, identifies high-impact opportunities and agrees measurable next steps before moving towards a prototype.
4. Strategy and roadmap
The roadmap turns the chosen opportunity into a sequence of work. It should identify the owner, expected outcome, required systems, data inputs, controls, training and review dates.
A good roadmap is phased. It distinguishes what should happen now, what can wait and what should not be attempted yet. It should also explain whether an off-the-shelf tool, an integration or a custom build is appropriate. ThinkAI’s AI strategy support is vendor-neutral, so the recommendation should follow the business need and budget rather than a preferred platform.
5. Pilot and implementation
The first implementation should be controlled enough to test. The Department of Enterprise, Tourism and Employment recommends a start-small-and-scale approach, which is particularly sensible for owner-managed firms.
A pilot might cover one enquiry type, one administrative workflow or one internal knowledge source. The consultant should define how staff review the output, how errors are handled and what evidence will determine whether the pilot continues.
6. Training, measurement and support
Delivery is not finished when the software is switched on. Staff need to understand what the system does, what information may be entered, when human review is required and who is responsible if something goes wrong.
EU AI Act AI literacy requirements require organisations using AI systems to support AI literacy among relevant staff. Practical training and clear operating guidance therefore belong inside the project, alongside technical configuration.
After launch, the consultant should review performance against the agreed measures and adjust the process. Ongoing support may include further training, workflow changes, new integrations or expansion into another use case.
What should the client receive?
The outputs depend on scope, but a small business should expect more than advice given in a meeting. Useful deliverables can include:
- a written summary of the current process and problem;
- a prioritised list of AI opportunities;
- a risk and data-handling review;
- a phased roadmap with owners and measures;
- a pilot specification or implementation plan;
- staff guidance and training requirements; and
- a clear recommendation on the next decision.
What does an AI consultant cost in Ireland?
There is no responsible single figure because the work can range from a short assessment to a custom system integration. Ask for the engagement to be separated into stages: discovery, roadmap, pilot, implementation and support. That makes the cost easier to assess and gives the business a decision point before each larger commitment.
Some eligible companies may be able to use Enterprise Ireland or Local Enterprise Office digital supports for advisory or implementation work. Eligibility, scope and current terms vary, so confirm them with the relevant agency before treating funding as part of the budget.
How to brief an AI consultant
Bring three things to the first meeting: the business outcome you want, an honest description of the current process and the people who understand that process. Do not feel you need to choose the technology first.
Also be clear about sensitive data, existing software, budget limits and who will own the project internally. A consultant can shape the scope, but the business must still make the commercial decisions.
Red flags to watch for
Be cautious if the conversation is dominated by one tool, if the proposal has no measurable outcome, or if data protection and staff adoption are treated as later problems. A credible consultant should be willing to recommend a smaller project, a non-AI fix or no project at all when that is the right answer.
For a practical review of your first AI opportunity, book a strategy session.
Frequently Asked Questions
A consultant is not required for every experiment. External help becomes useful when AI touches customer data, several systems, important decisions or a process that needs reliable ownership and measurement.
The duration depends on scope. A discovery workshop and roadmap are shorter than a pilot or systems integration. The proposal should separate these stages and give a defined output and decision point for each one.
Technology recommendations can be part of the work, but they should follow the process review. The consultant should explain why a tool fits the business, its data requirements, likely ongoing costs and credible alternatives.
The owner or senior sponsor sets the outcome, provides access to the people who understand the process, approves risk and budget decisions, and assigns an internal owner. The consultant can guide and deliver the work, but accountability stays with the business.
About the Author
Declan Foley is the founder of ThinkAI.ie and Creative Director at Designwest. He helps Irish businesses apply AI-powered strategy and digital innovation to practical growth. Explore how ThinkAI can support your business at ThinkAI.ie.
What would an AI consultant actually change in your business before asking you to buy another tool? For a small Irish business, the answer to what does an AI consultant actually do for a small Irish business should be practical: understand how the company works, find a worthwhile problem, define the risks, build a sensible plan and help the team put it into use.
The work should not begin with a software demonstration. It should begin with the business. Where is time being lost? Which enquiries are missed? What information is repeatedly copied between systems? Which decisions are slow because the right data is difficult to find?
Ireland’s Central Statistics Office reported that 20.2% of enterprises used AI in some form during 2025, but adoption varied sharply by company size. That matters because a small firm rarely needs the same programme as a large organisation. The job is to find the smallest useful intervention, not the largest possible technology project.
What does an AI consultant actually do for a small Irish business?
The six stages of a useful AI consulting engagement
1. Initial consultation
The first conversation establishes the commercial problem. A consultant should ask about goals, customers, staff, recurring tasks, existing systems and previous experiments with AI. This is also where both sides decide whether there is a real fit.
You should leave that conversation with a clearer question, not a shopping list of platforms.
2. Discovery and readiness assessment
Next comes a structured review of the business. ThinkAI looks at current processes, available data, technical systems and the team’s ability to use and supervise an AI solution.
This stage should also identify constraints. The Data Protection Commission advises organisations to understand what personal data an AI product uses, where it goes and whether it is retained or reused. Those questions belong at the start of AI project scoping, particularly where customer, employee or commercially sensitive information is involved.
3. Opportunity mapping and prioritisation
Discovery usually produces several ideas. The consultant’s job is to separate useful opportunities from distractions.
Each option should be considered against business value, implementation effort, available data, staff impact, risk and the ability to measure an outcome. A quicker response to sales enquiries may be a stronger first project than an ambitious forecasting system that depends on data the business does not yet collect.
Enterprise Ireland’s AI Discovery programme follows a similar logic. It reviews the business, identifies high-impact opportunities and agrees measurable next steps before moving towards a prototype.
4. Strategy and roadmap
The roadmap turns the chosen opportunity into a sequence of work. It should identify the owner, expected outcome, required systems, data inputs, controls, training and review dates.
A good roadmap is phased. It distinguishes what should happen now, what can wait and what should not be attempted yet. It should also explain whether an off-the-shelf tool, an integration or a custom build is appropriate. ThinkAI’s AI strategy support is vendor-neutral, so the recommendation should follow the business need and budget rather than a preferred platform.
5. Pilot and implementation
The first implementation should be controlled enough to test. The Department of Enterprise, Tourism and Employment recommends a start-small-and-scale approach, which is particularly sensible for owner-managed firms.
A pilot might cover one enquiry type, one administrative workflow or one internal knowledge source. The consultant should define how staff review the output, how errors are handled and what evidence will determine whether the pilot continues.
6. Training, measurement and support
Delivery is not finished when the software is switched on. Staff need to understand what the system does, what information may be entered, when human review is required and who is responsible if something goes wrong.
EU AI Act AI literacy requirements require organisations using AI systems to support AI literacy among relevant staff. Practical training and clear operating guidance therefore belong inside the project, alongside technical configuration.
After launch, the consultant should review performance against the agreed measures and adjust the process. Ongoing support may include further training, workflow changes, new integrations or expansion into another use case.
What should the client receive?
The outputs depend on scope, but a small business should expect more than advice given in a meeting. Useful deliverables can include:
- a written summary of the current process and problem;
- a prioritised list of AI opportunities;
- a risk and data-handling review;
- a phased roadmap with owners and measures;
- a pilot specification or implementation plan;
- staff guidance and training requirements; and
- a clear recommendation on the next decision.
What does an AI consultant cost in Ireland?
There is no responsible single figure because the work can range from a short assessment to a custom system integration. Ask for the engagement to be separated into stages: discovery, roadmap, pilot, implementation and support. That makes the cost easier to assess and gives the business a decision point before each larger commitment.
Some eligible companies may be able to use Enterprise Ireland or Local Enterprise Office digital supports for advisory or implementation work. Eligibility, scope and current terms vary, so confirm them with the relevant agency before treating funding as part of the budget.
How to brief an AI consultant
Bring three things to the first meeting: the business outcome you want, an honest description of the current process and the people who understand that process. Do not feel you need to choose the technology first.
Also be clear about sensitive data, existing software, budget limits and who will own the project internally. A consultant can shape the scope, but the business must still make the commercial decisions.
Red flags to watch for
Be cautious if the conversation is dominated by one tool, if the proposal has no measurable outcome, or if data protection and staff adoption are treated as later problems. A credible consultant should be willing to recommend a smaller project, a non-AI fix or no project at all when that is the right answer.
For a practical review of your first AI opportunity, book a strategy session.
Frequently asked questions
Does a small business need an AI consultant before using ChatGPT or another AI tool?
A consultant is not required for every experiment. External help becomes useful when AI touches customer data, several systems, important decisions or a process that needs reliable ownership and measurement.
How long should an AI consulting project take?
The duration depends on scope. A discovery workshop and roadmap are shorter than a pilot or systems integration. The proposal should separate these stages and give a defined output and decision point for each one.
Should an AI consultant recommend specific software?
Technology recommendations can be part of the work, but they should follow the process review. The consultant should explain why a tool fits the business, its data requirements, likely ongoing costs and credible alternatives.
What is the business owner’s role during the project?
The owner or senior sponsor sets the outcome, provides access to the people who understand the process, approves risk and budget decisions, and assigns an internal owner. The consultant can guide and deliver the work, but accountability stays with the business.
About the Author
Declan Foley is the founder of ThinkAI.ie and Creative Director at Designwest. He helps Irish businesses apply AI-powered strategy and digital innovation to practical growth. Explore how ThinkAI can support your business at ThinkAI.ie.
